Jan 12, 2022

CIDR 2022 Talk: Can Your Database Do This?

In this short 5 min presentation at CIDR 2022, our co-founder Aditya Parameswaran talks about the key differences between relational databases and pandas. He discusses ongoing work at Ponder in developing enterprise-ready, scalable pandas, and the underlying challenges.   If you’re excited ab...


Dec 10, 2021

Modin and Lux papers published in VLDB proceedings

Our work at Ponder started as research projects in the UC Berkeley RISE Lab, where we developed tools aimed at improving data science productivity. Our open-source projects are the result of many years of research and development in this space. We recently published two research papers in the Procee...


Nov 2, 2021

Modin & Lux @ PyData Global

We are excited to share Modin and Lux with the community at PyData Global 2021! “PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new...


Oct 27, 2021

Anaconda: Scale your pandas workflows with Modin

Modin was featured on Anaconda’s Blog! Here is a highlighted excerpt from the article: What does Modin have to offer you as the end user? It tries to adhere to the idea of “tools should work for the data scientist, not vice versa”. Hence it offers a very simple, drop-in replacement for pan...


Jun 22, 2021

Modin at Ray Summit 2021

Devin Petersohn presents Modin at Ray Summit 2021. Modin provides a parallel implementation of the pandas DataFrame API on top of scalable execution engines, including Ray and Dask. Modin’s comprehensive support across the pandas API allows data scientists to continue using pandas, but scale u...

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